Image Denoising Based on Compressed Sensing

Amin Tavakoli and Ali Pourmohammad, Member, IACSIT

Abstract—This paper presents a new approach for imaged noising based on compressed sensing. In this method, an unknown noisy image of interest is observed (sensed) through a limited number linear functional in random projection, the noriginal image is reconstructed using the observation vector and the existed recovery algorithms such as L1_minimization. Simulation results inform this method is an efficient method for image denoising.